Advances in Intelligent Data Analysis XIX : 19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26–28, 2021, Proceedings / / edited by Pedro Henriques Abreu, Pedro Pereira Rodrigues, Alberto Fernández, João Gama

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
• Edizione: 1st ed. 2021.
• Descrizione fisica: 1 online resource (xvi, 454 pages)
• Disciplina: 006.4
• Soggetto topico: Database management; Social sciences - Data processing; Algorithms; Education - Data processing; Natural language processing (Computer science); Database Management; Computer Application in Social and Behavioral Sciences; Design and Analysis of Algorithms; Computers and Education; Natural Language Processing (NLP)
• Persona (resp. second.): AbreuPedro Henriques
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Modeling with Neural Networks -- Hyperspherical Weight Uncertainty in Neural Networks -- Partially Monotonic Learning for Neural Networks -- Multiple-Manifold Generation with an Ensemble GAN and Learned Noise Prior -- Simple, Efficient and Convenient Decentralized Multi-Task Learning for Neural Networks -- Deep Hybrid Neural Networks with Improved Weighted Word Embeddings for Sentiment Analysis -- Explaining Neural Networks by Decoding Layer Activations -- Analogical Embedding for Analogy-based Learning to Rank -- HORUS-NER: A Multimodal Named Entity Recognition Framework for Noisy Data -- Modeling with Statistical Learning -- Incremental Search Space Construction for Machine Learning Pipeline Synthesis -- Adversarial Vulnerability of Active Transfer Learning -- Revisiting Non-Specific Syndromic Surveillance -- Gradient Ascent for Best Response Regression -- Intelligent Structural Damage Detection: a Federated Learning Approach -- Composite surrogate for likelihood-freeBayesian optimisation in high-dimensional settings of activity-based transportation models -- Active Selection of Classification Features -- Feature Selection for Hierarchical Multi-Label Classification -- Bandit Algorithm for Both Unknown Best Position and Best Item Display on Web Pages -- Performance prediction for hardware-software configurations: A case study for video games -- avatar / Automated Feature Wrangling for Machine Learning -- Modeling Language and Graphs -- Semantically Enriching Embeddings of Highly In ectable Verbs for Improving Intent Detection in a Romanian Home Assistant Scenario -- BoneBert: A BERT-based Automated Information Extraction System of Radiology Reports for Bone Fracture Detection and Diagnosis -- Linking the Dynamics of User Stance to the Structure of Online Discussions -- Unsupervised Methods for the Study of Transformer Embeddings -- A Framework for Authorial Clustering of Shorter Texts in Latent Semantic Spaces -- DeepGG: a Deep Graph Generator -- SINr: fast computing of Sparse Interpretable Node Representations is not a sin -- Detection of contextual anomalies in attributed graphs -- Ising-Based Louvain Method: Clustering Large Graphs with Specialized Hardware -- Modeling Special Data Formats -- Reducing Negative Impact of Noise in Boolean Matrix Factorization with Association Rules -- Z-Hist: A Temporal Abstraction of Multivariate Histogram Snapshots -- muppets: Multipurpose Table Segmentation -- SpLyCI: Integrating Spreadsheets by Recognising and Solving Layout Constraints -- RTL: A Robust Time Series Labeling Algorithm -- The Compromise of Data Privacy in Predictive Performance -- Efficient Privacy Preserving Distributed K-Means for Non-IID Data.
• Sommario/riassunto: This book constitutes the proceedings of the 19th International Symposium on Intelligent Data Analysis, IDA 2021, which was planned to take place in Porto, Portugal. Due to the COVID-19 pandemic the conference was held online during April 26-28, 2021. The 35 papers included in this book were carefully reviewed and selected from 113 submissions. The papers were organized in topical sections named: modeling with neural networks; modeling with statistical learning; modeling language and graphs; and modeling special data formats.
• Titolo autorizzato: Advances in intelligent data analysis XIX
• ISBN: 3-030-74251-2
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910484642303321
• Lo trovi qui: Univ. Federico II
• Serie: Information Systems and Applications, incl. Internet/Web, and HCI, . 2946-1642 ; ; 12695